Literature DB >> 30607658

A Patient-Tailored Evidence-Based Approach for Developing Early Neuropsychological Training Programs in Addiction Settings.

Benjamin Rolland1,2, Fabien D'Hondt3,4, Solène Montègue2, Mélanie Brion5, Eric Peyron6, Julia D'Aviau de Ternay2, Philippe de Timary5,7, Mikaïl Nourredine2, Pierre Maurage8.   

Abstract

Substance use disorders (SUDs) are associated with impairments of cognitive functions, and cognitive training programs are thus rapidly developing in SUD treatment. However, neuropsychological impairments observed early after withdrawal (i.e., early impairments), that is, approximately in the first six months, may be widespread. Consequently, it might not be possible to train all the identified early impairments. In these situations, we propose that the priority of cognitive training should be given to the early impairments found to be associated with early dropout or relapse (i.e., relapse-related impairments). However, substance-specific relapse-related impairments have not been singled out among all early impairments so far. Using a systematic literature search, we identified the types of established early impairments for all SUDs, and we assessed the extent to which these early impairments were found to be associated with relapse-related impairments. All cognitive functions were investigated according to a classification based on current neuropsychological models, distinguishing classical cognitive, substance-bias, and social cognition systems. According to the current evidence, demonstrated relapse-related impairments in alcohol use disorder comprised impulsivity, long-term memory, and higher-order executive functions. For cannabis use disorder, the identified relapse-related impairments were impulsivity and working memory. For stimulant use disorder, the identified relapse-related impairments were attentional abilities and higher-order executive functions. For opioid use disorder, the only identified relapse-related impairments were higher executive functions. However, many early impairments were not explored with respect to dropout/relapse, particularly for stimulant and opioid use disorders. The current literature reveals substance-specific relapse-related impairments, which supports a pragmatic patient-tailored approach for defining which early impairments should be prioritized in terms of training among patients with SUDs.

Entities:  

Keywords:  Alcohol; Cannabis; Cognitive impairments; Cognitive remediation; Opioid; Relapse; Stimulants; Substance-use disorders; Treatment dropout

Year:  2019        PMID: 30607658     DOI: 10.1007/s11065-018-9395-3

Source DB:  PubMed          Journal:  Neuropsychol Rev        ISSN: 1040-7308            Impact factor:   7.444


  96 in total

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Journal:  Addiction       Date:  2002-10       Impact factor: 6.526

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Review 5.  Drug addiction: the neurobiology of behaviour gone awry.

Authors:  Nora D Volkow; Ting-Kai Li
Journal:  Nat Rev Neurosci       Date:  2004-12       Impact factor: 34.870

6.  Relapse-onset factors in Project MATCH: the Relapse Questionnaire.

Authors:  William H Zywiak; Robert L Stout; Richard Longabaugh; Ingrid Dyck; Gerard J Connors; Stephen A Maisto
Journal:  J Subst Abuse Treat       Date:  2006-08-01

7.  Risk-taking on tests sensitive to ventromedial prefrontal cortex dysfunction predicts early relapse in alcohol dependency: a pilot study.

Authors:  Henrietta Bowden-Jones; Mike McPhillips; Robert Rogers; Sam Hutton; Eileen Joyce
Journal:  J Neuropsychiatry Clin Neurosci       Date:  2005       Impact factor: 2.198

8.  Drug Stroop performance: relationships with primary substance of use and treatment outcome in a drug-dependent outpatient sample.

Authors:  Kenneth M Carpenter; Elizabeth Schreiber; Sarah Church; David McDowell
Journal:  Addict Behav       Date:  2006-01       Impact factor: 3.913

9.  Impaired emotional facial expression recognition in alcoholics, opiate dependence subjects, methadone maintained subjects and mixed alcohol-opiate antecedents subjects compared with normal controls.

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Journal:  Psychiatry Res       Date:  2003-08-01       Impact factor: 3.222

10.  Alcohol attentional bias as a predictor of alcohol abusers' treatment outcome.

Authors:  W Miles Cox; Lee M Hogan; Marc R Kristian; Julian H Race
Journal:  Drug Alcohol Depend       Date:  2002-12-01       Impact factor: 4.492

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Review 5.  A Roadmap for Integrating Neuroscience Into Addiction Treatment: A Consensus of the Neuroscience Interest Group of the International Society of Addiction Medicine.

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Journal:  Front Psychiatry       Date:  2019-12-23       Impact factor: 4.157

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9.  Tackling heterogeneity: Individual variability of emotion decoding deficits in severe alcohol use disorder.

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Review 10.  Alcohol's Unique Effects on Cognition in Women: A 2020 (Re)view to Envision Future Research and Treatment.

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